Expert Group Meeting – Machine Learning Clinic: Behind the Hype GenAI – Real Applications and Benefits for Industry?
Dear ML Clinic experts,
I am happy to inform you that we are organizing our next ML Clinic workshop which will be hosted by Swisscom. We will have presentations from Swisscom and CSEM followed by an interactive panel discussion to develop further on this exciting topic:
“Behind the Hype GenAI” – Real applications and benefits for industry?
Please find attached the flyer with all the details about the event.
Agenda
16:00 – 17:00 – Impulse Presentations
From Idea to Impact – Identifying and Developing Scalable AI Use Cases
Mattmann Carole – Senior Data & AI Consultant, Swisscom AG
An approach to develop AI-driven solutions, guided by a structured framework that supports scalable development and provides a clear methodology for identifying and defining impactful use cases. Through real-world examples across various industries, this presentation will demonstrate how our framework helps us navigate the complexities of AI deployment, including model scalability, data integration, and operationalization, to achieve meaningful business results.
Discover the Swiss AI Platform
Levy Sarah – Stream Lead AI Strategy & Offerings, Swisscom AG
Switzerland’s AI landscape requires balancing innovation with strict data governance. The Swiss AI Platform, a Swiss Army knife for AI, meets this need by offering GPU-as-a-Service, an AI Workhub for collaboration, and a GenAI Studio for generative AI, all underpinned by Swiss data governance and Nvidia’s scalable technology. Discover how this all-in-one platform enables secure, high-performance AI solutions, driving new possibilities for Swiss innovation.
The impact of Generative AI in Industrial Applications
Iason Kastanis – Group leader Predictive Analytics, CSEM SA
This talk will describe CSEM projects in the area of multimodal industrial data with examples from real world applications. Many years of experience have highlighted the idiosyncrasies of the digitalisation process taking place on shop floors across the industry. The rise of GPT-based large language models presents an opportunity to use Generative AI to address the issues faced in the development of AI-driven analytics for the industry.
Defining the boundaries of AI From fundamental limitations to resource constraints
Nadim Maamari – Group Leader Edge AI and Vision System, CSEM
Defining the boundaries of AI involves recognizing its intrinsic limitations, such as lack of true understanding and dependence on data, while balancing its immense computational power needs, which pose sustainability challenges. As AI grows more powerful, ethical considerations and regulatory measures become essential to ensure responsible and energy-efficient advancements, guiding its impact on society and the environment
17:00 – 17:45 Panel Discussion and Q&A
Challenges and opportunities for the Swiss industry
Mattmann Carole, Levy Sarah, Iason Kastanis, Nadim Maamari, and Philipp Schmid (Head Manufacturing Industries, Swisscom AG)
Moderator: Francesco Crivelli, Head of Research & Business Development for Industry 4.0 and ML, CSEM
17:45 – 19:00 Apéro Riche and Networking
